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Big Data Specialist
2 months ago
Job Summary
Protingent is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, implementing, and maintaining data infrastructure, including data modeling, ETL pipelines, and ongoing maintenance.
Key Responsibilities
- Design and implement data infrastructure, including data modeling, ETL pipelines, and ongoing maintenance.
- Partner with cross-functional teams to build data pipelines from various sources using AWS big data technologies.
- Develop and manage data dictionaries, catalogs, and governance plans to ensure data quality and integrity.
- Collaborate with data consumers to provide and correlate data for business intelligence and machine learning use cases.
- Design and implement automated solutions to minimize manual processes and improve efficiency and scalability.
- Provide guidance on data stewardship to teams onboarding to central data systems.
Requirements
- 5+ years of experience in data engineering with a strong background in data modeling, ETL pipelines, and data governance.
- Experience building and operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets.
- Proficiency in modern scripting or programming languages, such as Python, Java, Scala, or NodeJS.
- 5+ years of experience with AWS technologies, including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with non-relational databases and data stores, including object storage, document or key-value stores, graph databases, and column-family databases.
- Proven experience as a Data Engineer with a track record of building data solutions from the ground up.
- Able to adapt to changing project requirements and priorities.